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ARTIFICAL INTELLIGENCE, MACHINE
LEARNING AND SUPPLY CHAIN
AI, ML AND SCM
ARTIFICIAL INTELLIGENCE:
• Ability exhibited by a machine to perform complex intellectual tasks
that were, until recently, devoted to humans
• Chess game (1990’s), Speech processing (2000’s), Go game,
Chabot, autonomous vehicles (2010’s)
MACHINE LEARNING:
• Scientific and technical field aimed at giving machines the ability to learn how
to perform a complex task
• Today, can complete complex although specialized tasks:
• Image interpretation, Speech recognition
• Predict consumer purchase (recommender systems)
• Forecast sales and demand (supply chain systems)
SUPPLY CHAIN MANAGEMENT
• A supply chain consists of all parties involved, directly or indirectly, in fulfilling a
customer request.
• The supply chain not only includes the manufacturers and suppliers, but also
transporters, warehouse, retailers and customers.
• Within each organisation, such as a manufacturer, the supply chain includes all
functions involved in receiving and filling a customer request.
• These functions include, but are not limited to, new product development,
marketing, operations, distribution, finance and customer services.
AI, ML AND SUPPLY CHAIN
• Demand Forecasting and Inventory Planning
• Materials Sourcing
• Manufacturing Decisions
• Quality Assurance
• Delivery and Logistics
BIG DATA 7 V’S:
• Volume
• Velocity
• Variety
• Variability
• Veracity
• Visualization
• Value
DEMAND FORECASTING : LEARNING THE MODEL
Past sales data
Past context
data
Past marketing
operations
Past exogenous
data
Machine Learning:
what is the
simplest model f(.)
that explains well
the demand?
Past demand=
f(sales, Context,
MO, Exo)
f(.) Past
demand
DEMAND FORECASTING: EXPLOITING THE MODEL
Future context
data
Future marketing
operations
Future exogenous
data
f(.) Demand
forecast
NEW PRODUCT FORECASTING :
LEARNING
Clustering Learning
NEW PRODUCT FORECASTING : EXPLOITING THE MODEL
New product features
• Colour = XXX
• XXXXX = XXX
• XXXXX = XXX
• XXXXX = XXX
Sales forecast
ARTIFICIAL INTELLIGENCE IN
PROCUREMENT
• AI is helping drive cost reduction and compliance agenda through
procurement by generating real time visibility of the spend data
• The spend data is automatically classified by AI software and is checked
for compliance and any exceptions in real time
ARTIFICIAL INTELLIGENCE
WAREHOUSING
• Use of autonomous fork lifts is “reaching a level of maturity” in warehouse
operations
• Warehouse planning
DELIVERY AND LOGISTICS : SELF-DRIVING
VEHICLES
• Self-driving delivery trucks on public roads
AI : ELIMINATING CORRUPTION
• The AI algorithm analyses HR and finance data, procurement
requests, tender approvals, workflows, non-financial data like
government employee’s family details and vendor employee to identify
potentially corrupt or negligent practices
QUESTIONS…?

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Role of artificial intelligence, machine learning in supply chain management

  • 1. ARTIFICAL INTELLIGENCE, MACHINE LEARNING AND SUPPLY CHAIN AI, ML AND SCM
  • 2. ARTIFICIAL INTELLIGENCE: • Ability exhibited by a machine to perform complex intellectual tasks that were, until recently, devoted to humans • Chess game (1990’s), Speech processing (2000’s), Go game, Chabot, autonomous vehicles (2010’s) MACHINE LEARNING: • Scientific and technical field aimed at giving machines the ability to learn how to perform a complex task • Today, can complete complex although specialized tasks: • Image interpretation, Speech recognition • Predict consumer purchase (recommender systems) • Forecast sales and demand (supply chain systems)
  • 3. SUPPLY CHAIN MANAGEMENT • A supply chain consists of all parties involved, directly or indirectly, in fulfilling a customer request. • The supply chain not only includes the manufacturers and suppliers, but also transporters, warehouse, retailers and customers. • Within each organisation, such as a manufacturer, the supply chain includes all functions involved in receiving and filling a customer request. • These functions include, but are not limited to, new product development, marketing, operations, distribution, finance and customer services.
  • 4.
  • 5. AI, ML AND SUPPLY CHAIN • Demand Forecasting and Inventory Planning • Materials Sourcing • Manufacturing Decisions • Quality Assurance • Delivery and Logistics
  • 6. BIG DATA 7 V’S: • Volume • Velocity • Variety • Variability • Veracity • Visualization • Value
  • 7. DEMAND FORECASTING : LEARNING THE MODEL Past sales data Past context data Past marketing operations Past exogenous data Machine Learning: what is the simplest model f(.) that explains well the demand? Past demand= f(sales, Context, MO, Exo) f(.) Past demand
  • 8. DEMAND FORECASTING: EXPLOITING THE MODEL Future context data Future marketing operations Future exogenous data f(.) Demand forecast
  • 9. NEW PRODUCT FORECASTING : LEARNING Clustering Learning
  • 10. NEW PRODUCT FORECASTING : EXPLOITING THE MODEL New product features • Colour = XXX • XXXXX = XXX • XXXXX = XXX • XXXXX = XXX Sales forecast
  • 11. ARTIFICIAL INTELLIGENCE IN PROCUREMENT • AI is helping drive cost reduction and compliance agenda through procurement by generating real time visibility of the spend data • The spend data is automatically classified by AI software and is checked for compliance and any exceptions in real time
  • 12. ARTIFICIAL INTELLIGENCE WAREHOUSING • Use of autonomous fork lifts is “reaching a level of maturity” in warehouse operations • Warehouse planning
  • 13. DELIVERY AND LOGISTICS : SELF-DRIVING VEHICLES • Self-driving delivery trucks on public roads
  • 14. AI : ELIMINATING CORRUPTION • The AI algorithm analyses HR and finance data, procurement requests, tender approvals, workflows, non-financial data like government employee’s family details and vendor employee to identify potentially corrupt or negligent practices